In recent years, anchor-free object detectors have become predominant in deep learning, the YOLOv8 model as a real-time object detector based on anchor-free frames is universal and influential, it efficiently detects objects across multiple scales. However, the generaliza...
YOLOv8 Borzoi Detector Training a YOLOv8 model from Ultralytics [1] on a custom dataset consisting of borzoi dogs extracted from various sources across the internet for recognition and detection. Information I annotated the images using Label Studio [2]. A bounding box was placed around each bo...
This branch is up to date withignaciohrdz/yolo-face-parts-detector:main. README License Face parts detection with YOLOv8 🎯 If you find my work useful, please cite it as: Hernández Montilla, I (2024) Face parts detection with YOLOv8, DOI:https://doi.org/10.5281/zenodo.12507625 ...
An Improved YOLOv8 Detector for Multi-Scale Target Detection in Remote Sensing Images 来自 IEEEXplore 喜欢 0 阅读量: 2 作者:M Yue,L Zhang,Y Zhang,H Zhang 摘要: Target detection via remote sensing is extensively utilized across diverse domains because of its inherent potential value in ...
YOLOv8UniRepLKNetSwin transformerSPPFCSPCUnderwater visual detection technology is crucial for marine exploration and monitoring. Given the growing demand for accurate underwater target recognition, this study introduces an innovative architecture, YOLOv8-MU, which significantly enhances the...
To cope with this issue, in this paper, we propose three effective modules and embed them to YOLOv8 for improving its overall detection performance, resulting in a new detector named AYOLOv8 (Augment YOLOv8). Specifically, a fully-dimensional dynamic convolution is firstly designed to enhance ...
Therefore, many YOLO series algorithms have been applied to underwater target detection. On the basis of YOLOv8, a lightweight underwater detector enhanced by Attention mechanism, GSConv and WIoU, AGW-YOLOv8, is proposed in this paper. Firstly, by the combination of limited contrast adaptive ...
👋 Hello@kuazhangxiaoai, thank you for your interest in YOLOv8 🚀! We recommend a visit to theYOLOv8 Docsfor new users where you can find manyPythonandCLIusage examples and where many of the most common questions may already be answered. ...
…wnload (blakeblackshear#9762) * ROCm AMD/GPU based build and detector, WIP * detectors/rocm: separate yolov8 postprocessing into own function; fix box scaling; use cv2.dnn.blobForImage for preprocessing; assert on required model parameters * AMD/ROCm: add couple of more ultralytics models...
Framework for multiple person identification using YOLOv8 detector: a transfer learning approachdoi:10.11591/ijece.v14i3.pp2790-2802DEEP learningVIDEO surveillanceDATABASESDETECTORSSYSTEM identificationSUCCESSFUL peopleVideo surveillance extensively uses person detection and tracking ...